In March 2023, the investment bank Goldman Sachs released a report analyzing the impact AI will have on various professions within the U.S. economy. Below are the key findings from the report: AI will replace 7% of jobs. 7% of current employment in the U.S. […]
The adoption of artificial intelligence (AI) within a company presents a significant opportunity to drive efficiency and innovation. However, it’s crucial to approach this process with an informed and realistic attitude. Below are some common mistakes organizations often make when introducing AI, along with tips […]
To develop Artificial Intelligence (AI) and Machine Learning (ML) solutions, it’s essential to have a variety of technical tools that facilitate research, design, implementation, and deployment of models. Below are some of the key tools typically used by AI teams: Machine Learning Frameworks. These tools […]
Roles in an Artificial Intelligence Team. The size and features of an AI team depend on the level of maturity, responsibilities, and value provided in each case. In an initial phase, it is perfectly valid for all AI responsibilities to fall on a single person […]
The adoption of Artificial Intelligence (AI) in a company is a process that can offer significant competitive advantages. Below, we present a step-by-step guide for a successful transformation towards an AI-driven enterprise: 1. Technical and Business Analysis. Before embarking on any AI initiative, conducting a […]
The consulting firm McKinsey and Company released a report in June 2023 highlighting the areas of the company where AI will have the most impact: Customer Operations. AI helps automate and optimize customer interactions, providing quick responses to inquiries and enhancing the customer experience. Here […]
Goldman Sachs, one of the world’s leading investment banks, published a detailed analysis in March 2023 of the expected impact of Artificial Intelligence on various business sectors. The forecasts from this report, which rated the level of AI impact on each sector on a scale […]
Discrimination against Minorities. If AI is trained on biased data, it will produce biased results, potentially leading to discrimination against minorities or other groups. Examples of discrimination and bias that have already occurred include: – AI hiring tool that discriminates against women. – Facial recognition […]
The scarcity of GPUs, combined with the growing demand for processing power for AI tasks, presents both challenges and opportunities in the technology ecosystem: Challenges for startups and developers: – High cost: GPUs have become incredibly expensive due to high demand, increasing operational costs for […]
AI, and particularly the development and application of LLMs, is undergoing an unprecedented period of boiling innovation. This rapid evolution also comes with significant challenges, including: Black box. AI models, especially deep learning models, are often difficult to interpret and explain. It’s not always clear […]